Intuition Machine - Issue #37

Welcome to the weekly newsletter of Deep Learning AI and Blockchain Convergence. We hope that this newsletter we appeal to all those interested in Deep Learning developments and its relationship to decentralized consensus architectures.

The researchers taught an AI to study the behavior of social network users, and then design and implement its own phishing bait. In tests, the artificial hacker was substantially better than its human competitors, composing and distributing more phishing tweets than humans, and with a substantially better conversion rate.

At its conclusion, Pieter Abbeel said a major goal of his 2017 Deep Reinforcement Learning Bootcamp was to broaden the application of RL techniques. Around 250 representatives from research and industry had just emerged from 22 scheduled hours over a Saturday and Sunday in Berkeley. Abbeel asked the attendees to report back with tales of applying algorithms they may not have known existed previously.

Universal adversarial perturbations Moosavi-Dezfooli et al., CVPR 2017. I’m fascinated by the existence of adversarial perturbations - imperceptible changes to the inputs to deep network classifiers that cause them to mis-predict labels. We took a good look at some of the research into adversarial images earlier this year, where we learned that all deep networks…

Critical information is often scattered across multiple facilities, and sometimes it isn’t accessible when it is needed most—a situation that plays out every day around the U.S., costing money and sometimes even lives.

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One subject that continues to perplex everyone is the question of how to apply Deep Learning in an enterprise context. Just because technology is disruptive does not automatically imply that the development of valuable use cases are automatic. For years, many people could not figure out how to monetize the World Wide Web. We are somewhat in that same situation with Deep Learning. The developments are mind-boggling but the monetization is far from being obvious. This book sheds light on this subject.